检索结果-内蒙古大学图书馆

The sea lamprey germline genome provides insights into programmed genome rearrangement and vertebrate evolution (vol 50, pg 270, 2018)

引用

NATURE GENETICS 2018年第11期50卷 1617-1617页

作者： Smith, Jeramiah J. Timoshevskaya, Nataliya Ye, Chengxi Holt, Carson Keinath, Melissa C. Parker, Hugo J. Cook, Malcolm E. Hess, Jon E. Narum, Shawn R. Lamanna, Francesco Kaessmann, Henrik Timoshevskiy, Vladimir A. Waterbury, Courtney K. M. Saraceno, Cody Wiedemann, Leanne M. Robb, Sofia M. C. Baker, Carl Eichler, Evan E. Hockman, Dorit Sauka-Spengler, Tatjana Yandell, Mark Krumlauf, Robb Elgar, Greg Amemiya, Chris T. Department of Biology University of Kentucky Lexington KY USA. jjsmit3@uky.edu. Department of Biology University of Kentucky Lexington KY USA. Department of Computer Science University of Maryland College Park MD USA. Department of Human Genetics University of Utah Salt Lake City UT USA. Stowers Institute for Medical Research Kansas City MO USA. Columbia River Inter-Tribal Fish Commission Portland OR USA. Center for Molecular Biology of Heidelberg University (ZMBH) DKFZ-ZMBH Alliance Heidelberg Germany. Department of Pathology and Laboratory Medicine University of Kansas School of Medicine Kansas City KS USA. Department of Anatomy & Cell Biology The University of Kansas School of Medicine Kansas City KS USA. Department of Genome Sciences University of Washington School of Medicine Seattle WA USA. Howard Hughes Medical Institute University of Washington Seattle WA USA. Radcliffe Department of Medicine University of Oxford Oxford England. Division of Cell Biology Department of Anatomy Faculty of Health Sciences University of Cape Town Cape Town South Africa. The Francis Crick Institute London England. Benaroya Research Institute Seattle WA USA. School of Natural Sciences University of California Merced Merced CA USA.

The sea lamprey (Petromyzon marinus) serves as a comparative model for reconstructing vertebrate evolution. To enable more informed analyses, we developed a new assembly of the lamprey germline genome that integrates several complementary data sets. Analysis of this highly contiguous (chromosome-scale) assembly shows that both chromosomal and whole-genome duplications have played significant roles in the evolution of ancestral vertebrate and lamprey genomes, including chromosomes that carry the six lamprey HOX clusters. The assembly also contains several hundred genes that are reproducibly eliminated from somatic cells during early development in lamprey. Comparative analyses show that gnathostome (mouse) homologs of these genes are frequently marked by polycomb repressive complexes (PRCs) in embryonic stem cells, suggesting overlaps in the regulatory logic of somatic DNA elimination and bivalent states that are regulated by early embryonic PRCs. This new assembly will enhance diverse studies that are informed by lampreys' unique biology and evolutionary/comparative perspective.

关键词：

来源：评论

学校读者我要写书评

暂无评论

P-34: Compare and Model Multi-level Stereoscopic 3D Visual Fatigue Based on EEG

引用

SID Symposium Digest of Technical Papers 2017年第1期48卷

作者： Kang Yue Danli Wang Haichen Hu Xinpan Yang Steve C. Chiu Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China State Key Laboratory of Computer Institute of Software Chinese Academy of Sciences Beijing China College of Science and Engineering Idaho State University Pocatello America

In this paper, we designed an experiment to observe changes for different fatigue level in human brain when watching random dot stereogram (RDS) using the method of EEG. The subjects were asked to watch 3D content for 30 minutes and the disparity of RDS changed every 10 seconds. During this watching task, subjects should rate their extent of fatigue during the experiment on the scale of one to five only when they felt worse or better. 30 channels electroencephalogram (EEG) signals were recorded through the experiment. Finally, the relationship between various fatigue levels and disparities which revealed by EEG signals were investigated. Our results show that the power of waveband, namely alpha increased with the fatigue level increasing from one to four during watching RDS, but decreased in level five. We have employed logistic regression to model fatigue level and achieved classification accuracy of 94.18%. Our research has important implications for the continuous monitoring of user's fatigue in the future.

关键词： Visual fatigue modeling EEG 3DTV Random Dot Stereogram

来源：评论

学校读者我要写书评

暂无评论

Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

引用

NATURE GENETICS 2018年第12期50卷 1755-1755页

作者： Evangelou, Evangelos Warren, Helen R. Mosen-Ansorena, David Mifsud, Borbala Pazoki, Raha Gao, He Ntritsos, Georgios Dimou, Niki Cabrera, Claudia P. Karaman, Ibrahim Fu Liang Ng Evangelou, Marina Witkowska, Katarzyna Tzanis, Evan Hellwege, Jacklyn N. Giri, Ayush Edwards, Digna R. Velez Sun, Yan V. Cho, Kelly Gaziano, J. Michael Wilson, Peter W. F. Tsao, Philip S. Kovesdy, Csaba P. Esko, Tonu Magi, Reedik Milani, Lili Almgren, Peter Boutin, Thibaud Debette, Stephanie Ding, Jun Giulianini, Franco Holliday, Elizabeth G. Jackson, Anne U. Li-Gao, Ruifang Lin, Wei-Yu Luan, Jian'an Mangino, Massimo Oldmeadow, Christopher Prins, Bram Peter Qian, Yong Sargurupremraj, Muralidharan Shah, Nabi Surendran, Praveen Theriault, Sebastien Verweij, Niek Willems, Sara M. Zhao, Jing-Hua Amouyel, Philippe Connell, John de Mutsert, Renee Doney, Alex S. F. Farrall, Martin Menni, Cristina Morris, Andrew D. Noordam, Raymond Pare, Guillaume Poulter, Neil R. Shields, Denis C. Stanton, Alice Thom, Simon Abecasis, Goncalo Amin, Najaf Arking, Dan E. Ayers, Kristin L. Barbieri, Caterina M. Batini, Chiara Bis, Joshua C. Blake, Tineka Bochud, Murielle Boehnke, Michael Boerwinkle, Eric Boomsma, Dorret I. Bottinger, Erwin P. Braund, Peter S. Brumat, Marco Campbell, Archie Campbell, Harry Chakravarti, Aravinda Chambers, John C. Chauhan, Ganesh Ciullo, Marina Cocca, Massimiliano Collins, Francis Cordell, Heather J. Davies, Gail de Borst, Martin H. de Geus, Eco J. Deary, Ian J. Deelen, Joris Del Greco, Fabiola M. Demirkale, Cumhur Yusuf Dorr, Marcus Ehret, Georg B. Elosua, Roberto Enroth, Stefan Erzurumluoglu, A. Mesut Ferreira, Teresa Franberg, Mattias Franco, Oscar H. Gandin, Ilaria Gasparini, Paolo Giedraitis, Vilmantas Gieger, Christian Girotto, Giorgia Goel, Anuj Gow, Alan J. Gudnason, Vilmundur Guo, Xiuqing Gyllensten, Ulf Hamsten, Anders Harris, Tamara B. Harris, Sarah E. Hartman, Catharina A. Havulinna, Aki S. Hicks, Andrew A. Hofer, Edith Hofman, Albert Hottenga, Jouke-Jan Huffman, Jennifer E. Hwang, Shih-Jen Ingelsson, Erik James, Alan Jansen Department of Epidemiology and Biostatistics Imperial College London London UK Department of Hygiene and Epidemiology University of Ioannina Medical School Ioannina Greece William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK National Institute for Health Research Barts Cardiovascular Biomedical Research Center Queen Mary University of London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Mathematics Imperial College London London UK Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Medical Center Tennessee Valley Healthcare System (626)/Vanderbilt University Nashville TN USA Vanderbilt Genetics Institute Vanderbilt Epidemiology Center Department of Obstetrics and Gynecology Vanderbilt University Medical Center Tennessee Valley Health Systems VA Nashville TN USA Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA Department of Biomedical Informatics Emory University School of Medicine Atlanta GA USA Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA Division of Aging Department of Medicine Brigham and Women’s Hospital Department of Medicine Harvard Medical School Boston MA USA Atlanta VAMC and Emory Clinical Cardiovascular Research Institute Atlanta GA USA VA Palo Alto Health Care System Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA Nephrology Section Memphis VA Medical Center and University of Tennessee Health Science Center Memphis TN USA Estonian Genome Center University of Tartu Tartu Estonia Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department Clinical Sciences Malmö Lund University Malmö Sweden MRC Human Genetics Un

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

关键词： Cardiovascular diseases Genome informatics Genome-wide association studies

来源：评论

学校读者我要写书评

暂无评论

XDSession: Integrated development and testing of cross-device applications 15

XDSession: Integrated development and testing of cross-devic...

引用

7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2015

作者： Nebeling, Michael Husmann, Maria Zimmerli, Christoph Valente, Giulio Norrie, Moira C. Human-Computer Interaction Institute Carnegie Mellon University United States Department of Computer Science ETH Zurich Switzerland

ISBN: (纸本)9781450336468

Despite the recent proliferation of new cross-device application frameworks, there is still a lack of sophisticated tools for testing new applications during their development. This paper presents XDSession - a framework for cross-device application development based on a concept of cross-device sessions, not only useful for managing distribution and synchronisation, but also for logging and debugging. Integrated with XDSession are two new tools specifically designed for cross-device testing. First, the session controller supports management and testing of cross-device sessions with connected or simulated devices at run-time. Second, the session inspector enables inspection and analysis of multi-device/multi-user sessions with support for deterministic record/replay of cross-device sessions. We show the utility of XDSession based on a case study of a semester-long course project in which our tools were used by students to reimplement an existing application and extend it with cross-device capabilities. © Copyright 2015 ACM.

关键词： session concept multi-user/multi-device applications cross-device development platform

来源：评论

学校读者我要写书评

暂无评论

Kinect analysis: A system for recording, analysing and sharing multimodal interaction elicitation studies 15

Kinect analysis: A system for recording, analysing and shari...

引用

7th ACM SIGCHI Symposium on Engineering Interactive Computing Systems, EICS 2015

作者： Nebeling, Michael Ott, David Norrie, Moira C. Human-Computer Interaction Institute Carnegie Mellon University United States Department of Computer Science ETH Zurich Switzerland

ISBN: (纸本)9781450336468

Recently, guessability studies have become a popular means among researchers to elicit user-defined interaction sets involving gesture, speech and multimodal input. However, tool support for capturing and analysing interaction proposals is lacking and the method itself is still evolving. This paper presents Kinect Analysis - a system designed for interaction elicitation studies with support for record-and-replay, visualisation and analysis based on Kinect's depth, audio and video streams. Kinect Analysis enables post-hoc analysis during playback and live analysis with real-time feedback while recording. In particular, new visualisations such as skeletal joint traces and heatmaps can be superimposed for analysis and comparison of multiple recordings. It also introduces KinectScript - a simple scripting language to query recordings and automate analysis tasks based on skeleton, distance, audio and gesture scripts. The paper discusses Kinect Analysis both as a tool and a method that could enable researchers to more easily collect, study and share interaction proposals. Using data from a previous guessability study with 25 users, we show that Kinect Analysis in combination with Kinect-Script is useful and effective for a range of analysis tasks. Copyright 2015 ACM.

关键词： tools for guessability studies visualisation and analysis kinect analysis multimodal interaction recording

来源：评论

学校读者我要写书评

暂无评论

Aggregating Tree for Searching in Billion Scale High Dimensional Data

Aggregating Tree for Searching in Billion Scale High Dimensi...

引用

IEEE International Conference on Data Mining Workshops

作者： Shicong Liu Junru Shao Hongtao Lu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Department of Computer Science and Engineering Shanghai Jiao Tong University P.R. China

ISBN: (纸本)9781509059119

We present a novel nearest neighbor search scheme named aggregating tree (A-Tree) for high dimensional data that uses vector quantization encodings (VQ-encodings) to build a radix tree, and perform the nearest neighbor search by beam search. To search accurately and efficiently, we suggest VQ-encodings to satisfy locally aggregating encoding criterion: for any node of the corresponding A-Tree, neighboring vectors should aggregate in fewer subtrees to make beam search efficient. We suggest another two criteria for effective VQ-encodings which resembles balanced and uncorrelated bit criteria for hashing codes. We use generalized residual vector quantization (GRVQ) encodings to build A-Tree to meet the suggested criteria, and this combination shows significantly better performances. Our methods are validated on several standard benchmark datasets, including one containing a billion vectors. Experimental results show the superior efficiency and effectiveness of our proposed methods compared to the state-of-the-art.

关键词： Aggregating Tree Searching High Dimensional Data

来源：评论

学校读者我要写书评

暂无评论

Phone-Aware LSTM-RNN for Voice Conversion

Phone-Aware LSTM-RNN for Voice Conversion

引用

2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Jiahao Lai Bo Chen Tian Tan Sibo Tong Kai Yu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Speech Lab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University

This paper investigates a new voice conversion technique using phone-aware Long Short-Term Memory Recurrent Neural Networks（LSTM-RNNs）. Most existing voice conversion methods, including Joint Density Gaussian Mixture Models（JDGMMs）, Deep Neural Networks（DNNs）and Bidirectional Long Short-Term Memory Recurrent Neural Networks（BLSTM-RNNs）, only take acoustic information of speech as features to train models. We propose to incorporate linguistic information to build voice conversion system by using monophones generated by a speech recognizer as linguistic features. The monophones and spectral features are combined together to train LSTM-RNN based voice conversion models,reinforcing the context-dependency modelling of *** results of the 1st voice conversion challenge shows our system achieves significantly higher performance than baseline（GMM method） and was found among the most competitive scores in similarity test. Meanwhile, the experimental results show phone-aware LSTM-RNN method obtains lower Melcepstral distortion and higher MOS scores than the baseline LSTM-RNNs.

关键词： voice conversion voice conversion challenge long short-term memory recurrent neural networks phone

来源：评论

学校读者我要写书评

暂无评论

An Investigation on Deep Learning with Beta Stabilizer

An Investigation on Deep Learning with Beta Stabilizer

引用

2016 IEEE 13th International Conference on Signal Processing（ICSP2016）

作者： Qi Liu Tian Tan Kai Yu Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Speech Lab Department of Computer Science and Engineering Brain Science and Technology Research Center Shanghai Jiao Tong University

Artificial neural networks(ANN) have been used in many applications such like handwriting recognition and speech recognition. It is well-known that learning rate is a crucial value in the training procedure for artificial neural networks. It is shown that the initial value of learning rate can confoundedly affect the final result and this value is always set manually in practice. A new parameter called beta stabilizer has been introduced to reduce the sensitivity of the initial learning rate. But this method has only been proposed for deep neural network(DNN) with sigmoid activation function. In this paper we extended beta stabilizer to long short-term memory(LSTM) and investigated the effects of beta stabilizer parameters on different models, including LSTM and DNN with relu activation *** is concluded that beta stabilizer parameters can reduce the sensitivity of learning rate with almost the same performance on DNN with relu activation function and LSTM. However, it is shown that the effects of beta stabilizer on DNN with relu activation function and LSTM are fewer than the effects on DNN with sigmoid activation function.

关键词： DNN An Investigation on Deep Learning with Beta Stabilizer

来源：评论

学校读者我要写书评

暂无评论

Measuring Sleep Quality from EEG with Machine Learning Approaches

Measuring Sleep Quality from EEG with Machine Learning Appro...

引用

International Joint Conference on Neural Networks

作者： Li-Li Wang Wei-Long Zheng Hai-Wei Ma Bao-Liang Lu Center for Brain-like Computing and Machine Intelligence Department of Computer Science and Engineering Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Brain Science and Technology Research Center

ISBN: (纸本)9781509006212

This study aims at measuring last-night sleep quality from electroencephalography (EEG). We design a sleep experiment to collect waking EEG signals from eight subjects under three different sleep conditions: 8 hours sleep, 6 hours sleep, and 4 hours sleep. We utilize three machine learning approaches, k-Nearest Neighbor (kNN), support vector machine (SVM), and discriminative graph regularized extreme learning machine (GELM), to classify extracted EEG features of power spectral density (PSD). The accuracies of these three classifiers without feature selection are 36.68%, 48.28%, 62.16%, respectively. By using minimal-redundancy-maximal-relevance (MRMR) algorithm and the brain topography, the classification accuracy of GELM with 9 features is improved largely and increased to 83.57% in average. To investigate critical frequency bands for measuring sleep quality, we examine the features of each band and observe their energy changing. The experimental results indicate that Gamma band is more relevant to measuring sleep quality.

关键词： quality of sleep Electroencephalography Sleep Artificial Intelligence Machine Learning Frequency bands Power spectral density Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Driving Fatigue Detection with Fusion of EEG and Forehead EOG

Driving Fatigue Detection with Fusion of EEG and Forehead EO...

引用

International Joint Conference on Neural Networks

作者： Xue-Qin Huo Wei-Long Zheng Bao-Liang Lu Center for Brain-like Computing and Machine Intelligence Department of Computer Science and Engineering Key Laboratory of Shanghai Education Commission for Intelligent Interaction and Cognitive Engineering Brain Science and Technology Research Center

ISBN: (纸本)9781509006212

In this paper, we fuse EEG and forehead EOG to detect drivers' fatigue level by using discriminative graph regularized extreme learning machine (GELM). Twenty-one healthy subjects including twelve men and nine women participate in our driving simulation experiments. Two fusion strategies are adopted: feature level fusion (FLF) and decision level fusion (DLF). PERCLOS (the percentage of eye closure) is calculated by using the eye movement data recorded by eye tracking glasses as the indicator of drivers' fatigue level. The prediction correlation coefficient and root mean square error (RMSE) between the estimated fatigue level and the real fatigue level are both used to evaluate the performance of single modality and fusion modality. A comparative study on modality performance is conducted between GELM and support vector machine (SVM). The experimental results show that fusion modality can improve the performance of driving fatigue detection with a higher prediction correlation coefficient and a lower RMSE value in comparison with solely using EEG or forehead EOG. And FLF achieves better performance than DLF. GELM is more suitable for driving fatigue detection than SVM. Moreover, feature level fusion with GELM achieves the best performance with the prediction correlation coefficient of 0.8080 and the RMSE value of 0.0712 on average.

关键词： Fatigue Electrooculography Feature extraction Electroencephalography Forehead Brain modeling Correlation

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：